November 27, 2023 to December 1, 2023
Dual node
Europe/Paris timezone

EFTofLSS meets simulation-based inference: $\sigma_8$ from biased tracers

Nov 28, 2023, 3:27 PM
Dual node

Dual node

IAP (Paris) & CCA/Flatiron (New York) IAP 98bis Boulevard Arago 75014 Paris FRANCE CCA/Flatiron 5th Avenue New York (NY) USA
Flash talk Paris Contributed talks


Beatriz Tucci (Max Planck Institute for Astrophysics)


Modern cosmological inference typically relies on likelihood expressions and covariance estimations, which can become inaccurate and cumbersome depending on the scales and summary statistics under consideration. Simulation-based inference, in contrast, does not require an analytical form for the likelihood but only a prior distribution and a simulator, thereby naturally circumventing these issues. In this talk, we will explore how this technique can be used to infer $\sigma_8$ from a forward model based on Lagrangian Perturbation Theory and the bias expansion. The power spectrum and the bispectrum are used as summary statistics to obtain the posterior of the cosmological, bias and noise parameters via neural density estimation.

Primary author

Beatriz Tucci (Max Planck Institute for Astrophysics)

Presentation materials